Kernel principal component analysis for stochastic input model generation.
Xiang MaNicholas ZabarasPublished in: J. Comput. Phys. (2011)
Keyphrases
- kernel principal component analysis
- kernel pca
- discriminant analysis
- principal components
- small number of training samples
- kernel function
- feature extraction
- principal component analysis
- input data
- kernel methods
- preprocessing
- feature space
- high dimensional
- classification method
- k nearest neighbor
- kernel matrix
- feature vectors
- input space
- high dimensional feature space
- pairwise
- kernel fisher discriminant analysis